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4 changes: 2 additions & 2 deletions week_4/week_4_deepLearning.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -770,12 +770,12 @@
"* `nn.LogSoftmax()`: Multiclass prediction probability normalization (0-1)\n",
"\n",
"**First Convolution Layer**\n",
"- 2d convolution of in(1), out(2), kernel size(4)\n",
"- 2d convolution of in(1), out(4), kernel size(4)\n",
"- 2d maxpooling (2,2)\n",
"- Activation function\n",
"\n",
"**Second Convolution Layer**\n",
"- 2d convolution of in(2), out(4), kernel size(4)\n",
"- 2d convolution of in(2), out(8), kernel size(4)\n",
"- 2d maxpooling (2,2)\n",
"- Activation function\n",
"\n",
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8 changes: 4 additions & 4 deletions week_4/week_4_deepLearning_solns.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -861,12 +861,12 @@
"* `nn.LogSoftmax()`: Multiclass prediction probability normalization (0-1)\n",
"\n",
"**First Convolution Layer**\n",
"- 2d convolution of in(1), out(2), kernel size(4)\n",
"- 2d convolution of in(1), out(4), kernel size(4)\n",
"- 2d maxpooling (2,2)\n",
"- Activation function\n",
"\n",
"**Second Convolution Layer**\n",
"- 2d convolution of in(2), out(4), kernel size(4)\n",
"- 2d convolution of in(4), out(8), kernel size(4)\n",
"- 2d maxpooling (2,2)\n",
"- Activation function\n",
"\n",
Expand Down Expand Up @@ -1305,7 +1305,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -1319,7 +1319,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
"version": "3.8.5"
}
},
"nbformat": 4,
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